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CSE – Internet of Things

Connecting The Intelligent World.

Explore the future of connected intelligence where sensors, embedded systems, cloud computing, artificial intelligence and smart technologies come together to transform the physical world into an intelligent ecosystem.

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Connected Systems
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Smart Technologies
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Future Ready Skills
S C A C D N IoT
SMART DEVICES
CONNECTED INTELLIGENCE
Sensors   •   Embedded Systems   •   Cloud Computing   •   Artificial Intelligence   •   Smart Automation

ABOUT THE DEPARTMENT

The Internet of Things, or IoT, refers to the billions of physical devices around the world that are now connected to the internet, all collecting and sharing data. Thanks to the arrival of super-cheap computer chips and the ubiquity of wireless networks, it’s possible to turn anything, from something as small as a pill to something as big as an aeroplane, into a part of the IoT. Connecting up all these different objects and adding sensors to them adds a level of digital intelligence to devices that would be otherwise dumb, enabling them to communicate real-time data without involving a human being. The Internet of Things is making the fabric of the world around us more smarter and more responsive, merging the digital and physical universes.

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ABOUT HEAD OF THE DEPARTMENT

Dr Indraneel  is a Ratified Professor from JNTUK and guiding 4 Ph.D Scholars from ANNAMALAI UNIVERSITY,  Chidambaram, Tamil Nadu as external supervisor. 

He is a peer reviewer and editorial board member for various journals like Elsevier, i-manager’s JCOM journalas etc. 

He got appreciation from APSSSDC for best services as SPOC-APPSSDC-SIEMENS-TSDI Centre in SACET in 2017

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VISION

To develop the CSE–IoT department into a centre of excellence in computing and Internet of Things by imparting quality education, fostering innovation and providing industry-aligned skills that empower students to contribute to technological advancement and the welfare of society.

MISSION

The CSE–IoT department strives:

M1: To provide strong foundations in computing, IoT technologies and interdisciplinary problem solving through effective teaching–learning practices.
M2: To promote research, innovation and continuous professional development of faculty and students.
M3: To enhance employability through industry collaborations, internships, training and placement support in emerging IoT and related domains.
M4: To inculcate ethical values, social responsibility and commitment to community welfare through technology-enabled solutions.
M5: To ensure transparent and student-centric academic processes aligned with global standards in engineering education.

  • Program Educational Objectives (PEOs)
  • Program Outcomes (POs)
  • Program Specific Outcomes (PSOs)
  • BOS

PEO1: Graduates apply knowledge of computing, electronics, embedded systems and IoT to design effective engineering solutions.

PEO2: Graduates build successful careers in IoT, computing and related engineering domains.

PEO3: Graduates pursue higher education, research, innovation or entrepreneurship with a commitment to lifelong learning.

PEO4: Graduates demonstrate professionalism, teamwork, ethics, collaboration with industry and research bodies to develop sustainable IoT-based solutions for societal needs.

PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an
engineering specialization to the solution of complex engineering problems.
PO2: Problem analysis: Identity, formulate, review research literature, and analyze complex engineering
problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and
engineering sciences.
PO3: Design/development of solutions: Design solutions for complex engineering problems and design system
components or processes that meet the specified needs with appropriate consideration for public health and
safety, and the cultural, societal, and environmental considerations.

PO4: Conduct investigations of complex problems: Use research-based knowledge and research methods
including design of experiments, analysis and interpretation of data, and synthesis of the information to provide
valid conclusions.
PO5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering
and IT tools including prediction and modelling to complex engineering activities with an understanding of the
limitations.
PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal,
health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional
engineering practice.
PO7: Environment and sustainability: Understand the impact of the professional engineering solutions in
societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable
development.
PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the
engineering practice.
PO9: Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse
teams, and in multidisciplinary settings.
PO10: Communication:Communicate effectively on complex engineering activities with the engineering
community and with society at large, such as being able to comprehend and write effective reports and design
documentation, make effective presentations, and give and receive clear instructions.
PO11: Project management and finance: Demonstrate knowledge and understanding of the engineering and
management principles and apply these to one's work, as a member and leader in a team, to manage projects
and in multidisciplinary environments.
PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent
and life-long learning in the broadest context of technological change.

CSE–IoT graduates will be able to:

PSO1: Acquire knowledge on the Design, development and deployment of CSE and IoT based solutions using sensors, microcontrollers, embedded systems, network protocols, cloud services and analytics tools.

PSO2: Apply cutting-edge techniques and tools to develop CSE-IoT based projects individually or in a team work to address industrial challenges.

PSO3: Analyse IoT data using machine learning techniques and apply security principles to ensure the confidentiality, integrity and resilience of IoT systems.

  1. Click Here for IoT BOS
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